Theodoros Zanos, Ph.D., MSc, BEng

Affiliations: 
1998-2004 Electrical and Computer Engineering Aristotle University of Thessaloniki, Thessaloniki, Greece 
 2004-2009 Biomedical Engineering University of Southern California, Los Angeles, CA, United States 
 2009-2016 Neurology and Neurosurgery Montreal Neurological Hospital, McGill University 
 2016- Center for Bioelectronic Medicine Feinstein Institute for Medical Research, USA 
Area:
Visual System, Neuronal Systems Modeling, Biomedical Signal Processing, Computational Neuroscience
Website:
http://www.theozanos.com
Google:
"Theodoros Zanos"
Mean distance: 14.09 (cluster 17)
 
SNBCP
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Publications

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Csorba BA, Krause MR, Zanos TP, et al. (2022) Long-range cortical synchronization supports abrupt visual learning. Current Biology : Cb
Schwartz RM, Shaam P, Williams MS, et al. (2022) Understanding Mental Health Needs and Gathering Feedback on Transcutaneous Auricular Vagus Nerve Stimulation as a Potential PTSD Treatment among 9/11 Responders Living with PTSD Symptoms 20 Years Later: A Qualitative Approach. International Journal of Environmental Research and Public Health. 19
Wright JP, Mughrabi IT, Wong J, et al. (2021) A fully implantable wireless bidirectional neuromodulation system for mice. Biosensors & Bioelectronics. 200: 113886
Debnath S, Levy TJ, Bellehsen M, et al. (2021) A method to quantify autonomic nervous system function in healthy, able-bodied individuals. Bioelectronic Medicine. 7: 13
Datta-Chaudhuri T, Zanos T, Chang EH, et al. (2021) The Fourth Bioelectronic Medicine Summit "Technology Targeting Molecular Mechanisms": current progress, challenges, and charting the future. Bioelectronic Medicine. 7: 7
Mughrabi IT, Hickman J, Jayaprakash N, et al. (2021) Development and characterization of a chronic implant mouse model for vagus nerve stimulation. Elife. 10
Bolourani S, Brenner M, Wang P, et al. (2021) Development and Validation of a Machine learning prediction model of respiratory failure within 48 hours of patient admission for COVID-19. Journal of Medical Internet Research
Koppel R, Debnath S, Zanos TP, et al. (2021) Efficacy of continuous monitoring of maternal temperature during labor using wireless axillary sensors. Journal of Clinical Monitoring and Computing
Tóth V, Meytlis M, Barnaby DP, et al. (2020) Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning model. Npj Digital Medicine. 3: 149
Bolourani S, Zanos TP, Wang P, et al. (2020) Reply: In machine learning, the devil is in the details. The Journal of Thoracic and Cardiovascular Surgery
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